There is debate raging across all fields of Science on the replicability/reproducibility of scientific studies. Recent studies show that there is sizeable variability in outcomes of empirical research across researchers, even if they use the same data to estimate the same object. In a sense, there is 'a researcher fixed effect' in terms of picking the 'best' analysis path that leads to additional and typically unincorporated uncertainty in estimated effects.
The Academy organises a symposium on the topic with a keynote speech by Guido Imbens (Nobel laureate, Stanford and foreign member of the Academy).
The work by Imbens and Angrist, in particular, is credited with catalysing the 'credibility revolution' in empirical microeconomics. These methods are now being used across many disciplines, such as political science, sociology, and economics, and are of broader relevance.
The program further features talks by experts across various disciplines and will be concluded with a panel discussion. The audience will be encouraged to participate in this discussion.
The systematic replication of other researchers’ work should be a normal part of science. That is the main message of the Academy advisory report. Funding agencies and scientific journals should also make it easier for researchers to carry out and publish replication studies.
View publicationThe Academy has undertaken to investigate how various disciplines actually deal with research data and to consider whether their practices are satisfactory.
View publicationReasoning about causal relationships is an important topic across the sciences. Last year's Nobel Prize in Economics was awarded to Guido Imbens, foreign member of the KNAW. Together with Joshua Angrist, he received the prize for their central role in shaping how researchers understand and analyse causal relationships, using natural experiments. These are situations arising in real life that resemble randomised experiments, e.g. arising from natural random variations, institutional rules or policy changes.
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